Individual skill
health
Audits agent config, instruction drift, hooks or MCP, and AI maintainability. Use when Claude, Codex, or Pi setup looks wrong. Not for application bugs or PR review.
plugins/waza/skills/health/SKILL.md
Source commit 58217546cd94fcf5ddcde4265c00a9377ed3192c
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 7, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 7,539
- Repository last updated
- Nov 2, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- claude Repository topic
- claude-code Repository topic
- design Repository topic
- engineer Repository topic
- skills Repository topic
- superpowers Repository topic
- agent-skills Repository topic
- ai-agents Repository topic
- codex Repository topic
- cursor Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 21,233 bytesSKILL.mdcore · 21,233 bytesSKILL.mdcore · 21,233 bytesSKILL.mdcore · 21,233 bytesSKILL.mdcore · 21,233 bytesSKILL.mdcore · 21,233 bytesSKILL.mdcore · 21,233 bytesSKILL.mdcore · 21,233 bytesSKILL.mdcore · 21,233 bytesagents/inspector-context.mddoc · 11,858 bytesagents/inspector-control.mddoc · 6,144 bytesagents/inspector-maintainability.mddoc · 3,653 bytesreferences/durable-context.mddoc · 2,042 bytesreferences/long-running-agents.mddoc · 1,804 bytesreferences/maintainability-findings.mddoc · 9,526 bytesscripts/block-pipe-to-shell.pyruns · 11,631 bytesscripts/check-agent-context.shruns · 2,694 bytesscripts/check-doc-refs.shruns · 2,682 bytesscripts/check-maintainability.shruns · 2,696 bytesscripts/check-verifier-output.shruns · 2,696 bytesscripts/check_agent_context.pyruns · 70,059 bytesscripts/check_doc_refs.pyruns · 6,952 bytesscripts/check_maintainability.pyruns · 44,407 bytesscripts/check_verifier_output.pyruns · 3,561 bytesscripts/collect-data.shruns · 40,088 bytesscripts/conversation_audit.pyruns · 35,269 bytesscripts/read_skill_description.pyruns · 1,694 bytesscripts/run-health.ps1runs · 14,480 bytesscripts/scan_skill_security.pyruns · 19,946 bytes
Read excerpt
# Health: Agent-Assisted Engineering Health
Prefix your first line with 🥷 inline, not as its own paragraph.
Audit the current project's agent setup and AI coding maintainability against this framework:
`agent config → instruction surfaces → tools/runtime → verifiers → maintainability`
Find violations. Identify the misaligned layer. Calibrate to evidence and risk, not repository size.
## Outcome Contract
- Outcome: a budget-aware health report that separates agent configuration risk from AI maintainability risk.
- Done when: each finding names the misaligned layer, the concrete evidence, and a copy-pasteable action or diagnostic command.
- Evidence: collected health script output, tracked project instructions, runtime config summaries, verifier logs, hooks/MCP surfaces, and read-only live probes when needed.